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What you bring Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Conduct research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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The Natural Language Processing / Information Extraction (NLP/IE) Program at the IHI is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.
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Research experience in natural language processing, text mining in electronic health records, biomedical literature and/or social media data. Understanding of key natural language processing, data mining, machine learning and statistical methods.
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Expertise with AI algorithms, including deep learning, and natural language processing. Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as IEEE VIS, TVCG, CVPR, NeurIPS, AAAI, ICML, SIGKDD, ICASSP, Interspeech, and IEEE Signal Processing Magazine.
$150,000 - $165,000 a yearFull-timeExpandUpdated 18 days ago - UpvoteDownvoteShare Job
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Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. In this role, you will be responsible for implementing advanced machine learning models, including Large Language Models (LLMs), to solve complex problems and improve our products and services.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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This work will be performed in close collaboration with pediatric nephrology and urology clinicians and faculty at NCH. The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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PhD in STEM field and 2+ years of research experience involving machine learning, natural language processing, or deep learning are highly preferred. Master's Degree in STEM field and 5+ years of experience involving machine learning, natural language processing, or deep learning.
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DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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